Flow Ops Engineer Senior - Auditdata

About the role:

We're hiring our first Flow Ops Developer — a senior, hands-on engineer who will own the internal automation and integration ecosystem that connects our business and tech functions. You'll sit within IT/DevOps but operate as a force multiplier across the entire company: building the plumbing that lets HR, Finance, Marketing, IT, DevOps, and R&D move faster, and putting modern AI tooling directly into the hands of our internal teams.

This is a greenfield, build-it-from-scratch role. You'll define how automation is done here — the standards, the platforms, the patterns, the cost model. If you like turning messy manual processes into clean, observable, AI-enhanced flows and owning the result end-to-end, this is for you.

You won't be a cog in someone else's automation factory. You'll define the practice. The work has unusually wide blast radius — a single well-built flow can save a department dozens of hours a month — and you'll see the impact directly because the people benefiting sit a few Slack messages away. You'll also be on the front lines of how AI actually gets used inside a company, not as a demo but as production tooling people depend on.

Reports to: Head of IT / DevOps

Team: This is the founding role for Flow Ops. You'll shape what the function becomes and likely grow a small team behind you.

Work model: Flexible — remote, hybrid, or on-site, whichever lets you do your best work

Tools you'll inherit and shape: Microsoft 365 + Azure as the backbone, plus whichever automation platforms you decide we keep, retire, or adopt

What you'll do:

Integrate systems across the business. Connect the tools our teams already use — HRIS, finance and accounting systems, CRM, marketing platforms, ticketing, identity, source control, monitoring — into reliable, well-documented flows. Move data and trigger actions across boundaries that today require someone to copy-paste between tabs.

Automate workflows end-to-end. Partner with stakeholders in HR, Finance, Marketing, IT, DevOps, and R&D to identify high-friction processes, design automation for them, ship them, and keep them running. You own the outcome, not just the build.

Drive internal AI enablement. Build and maintain MCP servers, internal AI tools, and AI-powered automations that let employees safely tap into LLMs against our own data and systems. Set the patterns for how AI gets embedded into internal workflows responsibly.

Own the internal tool ecosystem. Evaluate, deploy, and govern automation and integration platforms (Power Automate, Windmill, n8n, Zapier, and similar). Decide what we use, when, and why. Maintain the platforms themselves — upgrades, access, secrets, monitoring.

Run FinOps for internal tools. Track spend across SaaS and automation platforms, find waste, right-size licenses, attribute costs to consuming teams, and report on ROI. Keep the internal stack lea